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Part Time Data Engineering Jobs in Austin, TX (NOW HIRING)

Experience in Science and Technology projects including data center, mission critical and ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DevOps Engineer

Round Rock, TX · Remote

$40 - $75/hr

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DevOps Engineer

Georgetown, TX · Remote

$40 - $75/hr

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DevOps Engineer

Austin, TX · Remote

$40 - $75/hr

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Back End Developer

Austin, TX · Remote

$40 - $75/hr

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Backend Developer

Round Rock, TX · Remote

$40 - $75/hr

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Backend Developer

Georgetown, TX · Remote

$40 - $75/hr

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

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Showing results 1-20

Part Time Data Engineering information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

How much do part time data engineering jobs pay per year?

As of Jun 10, 2026, the average yearly pay for part time data engineering in Austin, TX is $128,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Data Engineer, and why are they important?

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

What is a part-time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

How does a part-time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

What is the difference between Part Time Data Engineering vs Part Time Data Analysis?

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

What are the most commonly searched types of Data Engineering jobs in Austin, TX? The most popular types of Data Engineering jobs in Austin, TX are:
What cities near Austin, TX are hiring for Part Time Data Engineering jobs? Cities near Austin, TX with the most Part Time Data Engineering job openings:
Infographic showing various Part Time Data Engineering job openings in Austin, TX as of June 2026, with employment types broken down into 87% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $128,576 per year, or $61.8 per hour.

Freelance Data Scraping Engineer (Python)

Mindrift

Austin, TX • Remote

$37/hr

Part-time

Posted 27 days ago


Job description

Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.

In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.

This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.

What We Do

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

About the Role

This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.

Key Responsibilities

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Compensation

On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

How to get started

Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you'll play a key role in advancing AI capabilities and real-world applications.

Requirements

  • At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).
  • Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.
  • Strong attention to detail and commitment to data accuracy.
  • Self-directed work ethic with ability to troubleshoot independently.
  • A link to GitHub is a plus.
  • English proficiency: Upper-intermediate (B2) or above (required).

Benefits

Why this freelance opportunity might be a great fit for you?

  • Work fully remote on your own schedule with just a laptop and stable internet connection.
  • Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly - a distinctive skill set in a rapidly growing field.
  • Participate in performance-based bonus programs that reward high-quality work and consistent delivery.